We will use this repository for accepting assignment submissions.
How Model works and basic EDA
Model Validation, Underfitting and Overfitting
Random Forest
Pandas
Introduction, Missing Values and Categorical Variables
Pipelines
Cross Validation
XGBoost
Data leakage
Introduction
Mutual Information
Creating Features
K-means Clustering
PDA
Target Encoding